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  • Quantization (signal processing) - Wikipedia
    In mathematics and digital signal processing, quantization is the process of mapping input values from a large set (often a continuous set) to output values in a (countable) smaller set, often with a finite number of elements Rounding and truncation are typical examples of quantization processes
  • What is Quantization - GeeksforGeeks
    Quantization is a model optimization technique that reduces the precision of numerical values such as weights and activations in models to make them faster and more efficient
  • What Is Quantization? | How It Works Applications
    Quantization is the process of mapping continuous infinite values to a smaller set of discrete finite values In the context of simulation and embedded computing, it is about approximating real-world values with a digital representation that introduces limits on the precision and range of a value
  • What is quantization in machine learning? - Cloudflare
    What is quantization in machine learning? Quantization is a technique for lightening the load of executing machine learning and artificial intelligence (AI) models It aims to reduce the memory required for AI inference Quantization is particularly useful for large language models (LLMs)
  • Digital Communication - Quantization - Online Tutorials Library
    Quantization is representing the sampled values of the amplitude by a finite set of levels, which means converting a continuous-amplitude sample into a discrete-time signal
  • Quantization and performance optimization | How-to guides
    Learn how to optimize machine learning models using quantization techniques, such as weight-only, dynamic, and static quantization, and explore various frameworks and tools like PyTorch and Hugging Face to improve model performance and reduce memory usage
  • Quantization - MIT OpenCourseWare
    Uniform scalar quantization is the simplest and often most practical approach to quantization Before reaching this conclusion, two approaches to optimal scalar quantizers were taken
  • Signal Quantization and Compression Overview
    This can be achieved via quantization Quantization is a nonlinear and irreversible operation that maps a given amplitude x (n) at time t=nT into a value xn, that belongs to a finite set of values
  • What is quantization? - IBM
    Quantization is the process of reducing the precision of a digital signal, typically from a higher-precision format to a lower-precision format This technique is widely used in various fields, including signal processing, data compression and machine learning
  • What is a Quantization? - byteplus. com
    Quantization is a process of converting a continuous set of values (like all the possible real - number values) into a discrete set In simple terms, it's like taking a wide range of possibilities and breaking them down into a smaller, more manageable number of distinct values





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